##' @param div_measure The divergence measure to use. The
##' following methods are implemented:
##'
##' * `"cjs_dist"`: Cumulative Jensen-Shannon distance. Default
##' method. See function `cjs_dist` for more details.
##'
##' * `"js_dist"`: Jensen-Shannon distance.
##'
##' * `"js_div"`: Jensen-Shannon divergence.
##'
##' * `"hellinger_dist"`: Hellinger distance.
##'
##' * `"kl_dist"`: Kullback-Leibler distance.
##'
##' * `"kl_div"`: Kullback-Leibler divergence.
##'
##' * `"ks_dist"`: Kolmogorov-Smirnov distance.
##'
##' * `"hellinger_dist"`: Hellinger distance.
##'
##' * `"ws_dist"`: Wassterstein distance (pass `measure_args = list(p = N)`)
##' for a different order, where N is the order.
##' @param measure_args Named list of further arguments passed to divergence measure functions.
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